Eric Shea‐Brown
Impact in
- Cognitive Neuroscience top 1%
- Neural dynamics and brain function
- Visual perception and processing mechanisms
- Functional Brain Connectivity Studies
- Memory and Neural Mechanisms
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- stochastic dynamics and bifurcation
Papers in
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- Neural dynamics and brain function 60
- Visual perception and processing mechanisms 9
- Hearing Loss and Rehabilitation 2
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- stochastic dynamics and bifurcation 8
- Complex Systems and Dynamics 2
- Co-authors
- Krešimir Josić́ (13 shared papers)Brent Doiron (5 shared papers)Jaime de la Rocha (3 shared papers)Joshua H. Goldwyn (5 shared papers)Alex D. Reyes (1 shared paper)Yu Hu (8 shared papers)HERSCHEL A. RABITZ (3 shared papers)Joel Zylberberg (8 shared papers)
- Journals
- PLoS Computational Biology (11 papers)BMC Neuroscience (7 papers)Neural Computation (7 papers)Current Opinion in Neurobiology (4 papers)Journal of Neurophysiology (3 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Eric Shea‐Brown
83 papers receiving 3k citations
Peers
Comparison fields: 5 of 110
- Cognitive Neuroscience 2.1k
- Statistical and Nonlinear Physics 431
- Cellular and Molecular Neuroscience 239
- Neurology 172
- Sensory Systems 53
Countries citing papers authored by Eric Shea‐Brown
This map shows the geographic impact of Eric Shea‐Brown's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Eric Shea‐Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Shea‐Brown more than expected).
Fields of papers citing papers by Eric Shea‐Brown
This network shows the impact of papers produced by Eric Shea‐Brown. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Eric Shea‐Brown. The network helps show where Eric Shea‐Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Shea‐Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 519 | |
| 2 | 2019 | 208 | |
| 3 | 2011 | 143 | |
| 4 | 2012 | 126 | |
| 5 | 2007 | 113 | |
| 6 | 2008 | 113 | |
| 7 | 2006 | 102 | |
| 8 | 2011 | 102 | |
| 9 | 2016 | 94 | |
| 10 | 2007 | 86 | |
| 11 | 2016 | 83 | |
| 12 | 2018 | 69 | |
| 13 | 2009 | 65 | |
| 14 | 2016 | 53 | |
| 15 | 2014 | 51 | |
| 16 | 2021 | 50 | |
| 17 | 2017 | 44 | |
| 18 | 2011 | 42 | |
| 19 | 2019 | 42 | |
| 20 | 2017 | 41 |
About Eric Shea‐Brown
Eric Shea‐Brown is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics, Artificial Intelligence, Computer Networks and Communications and Neurology, having authored 87 papers that have together received 3.1k indexed citations. Recurring topics across this work include Neural dynamics and brain function (60 papers), Neural Networks and Applications (10 papers), Visual perception and processing mechanisms (9 papers), stochastic dynamics and bifurcation (8 papers), Nonlinear Dynamics and Pattern Formation (5 papers), Neurological disorders and treatments (3 papers), Complex Systems and Dynamics (2 papers) and Hearing Loss and Rehabilitation (2 papers). The work is most often cited by research in Cognitive Neuroscience (2.1k citations), Statistical and Nonlinear Physics (431 citations), Cellular and Molecular Neuroscience (239 citations), Neurology (172 citations) and Sensory Systems (53 citations). Eric Shea‐Brown has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Krešimir Josić́, Brent Doiron, Jaime de la Rocha, Joshua H. Goldwyn, Alex D. Reyes, Yu Hu, HERSCHEL A. RABITZ, Joel Zylberberg, Jeff Moehlis and Fred Rieke. Their work appears in journals such as PLoS Computational Biology, BMC Neuroscience, Neural Computation, Current Opinion in Neurobiology and Journal of Neurophysiology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.